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Learn about a theoretical and data-based modification process that can help students eligible for the AA-MAST program. Discover the research, strategies, and analyses conducted by the CAAVES Project, funded by the US Department of Education. Find out how modifications can impact reliability, comparability, and proficiency test results.
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How a Theoretical and Data-based Modification Process Can Help Students Eligible for an AA-MASThe Consortium for Alternate Assessment Validity and Experimental Studies (CAAVES Project) Presented by Ryan J. Kettler on April 15, 2009 at the annual meeting for the National Center for Measurement in Education San Diego, CA The CAAVES project is funded by the US Department of Education, Office of Elementary and Secondary Education
CAAVES Project Research Questions We sought to answer the following questions about item modifications: Will modifications in testing conditions change the reliability of measurement? Will taking the test under modified conditions change the comparability of scores for eligible students? What specific modifications are the most helpful for making the scores of eligible students comparable to the scores of ineligible students? 2
Item Modification Strategies • Universal Design Principles • Research on item answer choices • Cognitive Load Theory • Cognitive lab results
CAAVES Item Modification Strategies For all items: • Removed least effective distractor • Increased white space For many items: • Bolded key vocabulary terms • Simplified language in the directions, stimulus, stem, and answer choices • Reorganization of layout • Added graphic support
Mean Item Difficulty by Group and Condition in Reading * Student abilities were equated using a Rasch model.
Mean Item Difficulty by Group and Condition in Math * Student abilities were equated using a Rasch model. CAAVES Modified Achievement CCSSO 2008
Upcoming Analyses: Difficulty Change on Individual Items Students with Disabilities, Eligible Students without Disabilities, Ineligible
Individual Modification Analysis • Reviewed items based on differential boost • Nine well-modified items were identified • Six poorly-modified items were identified • Patterns were revealed for two modifications • One modification was used in 7 of 9 well-modified items, and only 1 of 6 poorly-modified items • Another modification was used on all 3 poorly-modified reading items, and 0 of 4 well-modified items
Thank you! • Any questions? Please email: r.j.kettler@vanderbilt.edu